--- tags: - text-to-image - lora - diffusers - template:diffusion-lora widget: - text: '3DXLP5, young woman in blue denim jacket with a hat, in the style of , industrial texture, shot on 70mm, aggressive quilting, backlight, androgynous, wimmelbilder . --ar 68:103 --v 5.1 --style raw' output: url: images/111.png - text: '3DXLP5, a man with dark brown hair and blue eyes is holding a gun in his right hand, aiming it at the camera with a cigarette in his mouth. He is wearing a black watch with a silver band and a gold ring on his left hand. His shirt is white with blue stripes and a gray t-shirt underneath. The background is a solid green, adding a pop of color to the scene.' output: url: images/222.png - text: '3DXLP5, A close-up shot of a mans face, taken from a low-angle perspective. The mans eyes are a piercing blue, and his eyebrows are a darker shade of brown. His hair is a mix of brown and black, and hes sporting a goatee. He is wearing a green button-down shirt, and the background is a grayish gray.' output: url: images/333.png base_model: black-forest-labs/FLUX.1-dev instance_prompt: 3DXLP5 license: creativeml-openrail-m --- ![strangerzonehf/Flux-3DXL-Partfile-0005](images/xy.png) ## Model description for 3DXL Partfile 0005 Image Processing Parameters | Parameter | Value | Parameter | Value | |---------------------------|--------|---------------------------|--------| | LR Scheduler | constant | Noise Offset | 0.03 | | Optimizer | AdamW | Multires Noise Discount | 0.1 | | Network Dim | 64 | Multires Noise Iterations | 10 | | Network Alpha | 32 | Repeat & Steps | 18 & 2000 | | Epoch | 14 | Save Every N Epochs | 1 | Labeling: florence2-en(natural language & English) Total Images Used for Training : 13 ## Best Dimensions & Inference | **Dimensions** | **Aspect Ratio** | **Recommendation** | |-----------------|------------------|---------------------------| | 1280 x 832 | 3:2 | Best | | 1024 x 1024 | 1:1 | Default | ### Inference Range - **Recommended Inference Steps:** 30–35 ## Setting Up ```python import torch from pipelines import DiffusionPipeline base_model = "black-forest-labs/FLUX.1-dev" pipe = DiffusionPipeline.from_pretrained(base_model, torch_dtype=torch.bfloat16) lora_repo = "strangerzonehf/Flux-3DXL-Partfile-0005" trigger_word = "3DXLP5" pipe.load_lora_weights(lora_repo) device = torch.device("cuda") pipe.to(device) ``` ## Trigger words You should use `3DXLP5` to trigger the image generation. ## Download model Weights for this model are available in Safetensors format. [Download](/strangerzonehf/Flux-3DXL-Partfile-0005/tree/main) them in the Files & versions tab.